Peak season is an engineering deadline, not a marketing one
Black Friday readiness starts before campaign launch: load-test checkout journeys, control deploys and govern script cost before peak traffic arrives.
Insights
Notes on ecommerce engineering, frontend craft, engineering leadership, practical AI and the changing search landscape.
Black Friday readiness starts before campaign launch: load-test checkout journeys, control deploys and govern script cost before peak traffic arrives.
Agentic commerce fails on storefront basics before protocols matter — reach, readable facts, aligned catalog truth, and only then UCP, ACP or MCP integration.
How pull requests stay reviewable when AI-generated diffs look finished — accountability questions, the cost of rubber-stamping, and how leaders keep the merge bar honest.
Why third-party scripts become a performance, reliability and ownership problem — and how ecommerce leaders can govern their cumulative cost.
Why engineering teams get more from AI when they treat it as leverage for judgment — not a shortcut past craft, review and accountability.
What AEO, GEO and agentic commerce change for ecommerce teams — and what remains crawlability, entities and trustworthy structured data.
Why engineering leadership is stronger when it stays grounded in how software is designed, built and maintained — without becoming a delivery bottleneck.